A Mathematical Model for Simultaneously Determining the Optimal Brand-Collection and Display-Area Allocation

Anderson, Evan E.; Amato, Henry N.

doi:10.1287/opre.22.1.13

Cited by 97 publications

(45 citation statements)

References 6 publications

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“…In [7] Anderson and his colleagues, investigated the customer preferences for specific brands for the optimal item allocation of shelves.…”

Section: Literature Reviewmentioning

confidence: 99%

Shelf Space Allocation Problem Using LNS Solver

2017

IJSR

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Shelf Space Allocation Problem is the problem of finding a good or an optimal solution for arranging objects on shelves in a store/warehouse to maximize profit. The SSAP yet remains a topic under research and has recently only been applied on a commercial level by large warehouses and the generalization of the problem to meet different requirements is still under investigation by the researchers. The problem considers different shelves with different priorities based on customer experience studies or based on certain criteria defined by the warehouse manager, while products have different dimensions and different profit margin. The current study is an item independent, thus it applies to supermarkets, parts warehouses, or any other space allocation problems with similar distribution criteria. Our study will focus on a simplified version of space allocation problem where we will ignore depth and stacking of same product on shelves, and not consider any clustering or aggregations beyond the fact that all items of same type are allocated within the same shelf next to each other. Our implementation will utilize an LNS solver, and present a planogram in motion, showing the arrangement of products on shelves in a video like sequence to watch the solution improvement and establish a basis for future improvements and generalization of the problem

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“…In [7] Anderson and his colleagues, investigated the customer preferences for specific brands for the optimal item allocation of shelves.…”

Section: Literature Reviewmentioning

confidence: 99%

Shelf Space Allocation Problem Using LNS Solver

2017

IJSR

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“…Shelf space planning considers facing and replenishment decisions (see e.g., Corstjens and Doyle, 1981), while assortment planning considers the question of which and how many different products to offer (Mantrala et al, 2009). In the past two decades, numerous models and analytical solutions have been proposed to deal with both areas of research (e.g., Anderson and Amato, 1974;Borin and Farris, 1995;Borin et al, 1994;Brijs et al, 2000;Brijs et al, 1999;Bultez and Naert, 1988;Bultez et al, 1989;Corstjens and Doyle, 1981;Corstjens and Doyle, 1983;Fadılog lu et al, 2010;Hansen and Heinsbroek, 1979;Russell and Urban, 2010;Urban, 1998;Yang, 2001). In the shelf space planning literature, researchers traditionally apply the individual space elasticity and crosselasticity between products to determine which products to stock and how much shelf space to display these products, whereas, the main body of literature on assortment planning models is based on the estimation of substitution effects and develops optimization algorithms to define inventory levels by stochastic demand.…”

Section: Category Management and Assortment Planningmentioning

confidence: 99%

Private labels and retail assortment planning: a differential evolution approach

et al. 2015

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Despite the longstanding recognition of the importance of product assortment planning (PAP), existing literature has failed to provide satisfactory solutions to a great deal of problems that reside in this area of research. The issue of optimal assortment planning in the retail sector becomes even more important in periods of economic crisis, as retailers must adapt their product portfolios to new evolving patterns of consumer buying behaviour and reduced levels of consumer's purchasing power.Private labels (PLs) typically experience significant growth in times of recession, due to their low prices, and the reduced disposable income of households. In this direction, the present paper introduces Differential Evolution (DE) to assist retailers in adapting their product portfolios in periods of economic recession and facilitate strategic PAP decisions, related to a) optimal variety of PL product categories, b) optimal service level of PL merchandise within a product category, and hence, c) optimal balance between PLs and National Brands (NBs) in a retailer's product portfolio. The interrelated issue of assortment adaptation across different store formats is also considered. Economic recessions contribute to the prolonged upward evolution in PL share, and hence, our mechanism facilitates decisions that are nowadays more important than ever before. The proposed mechanism is illustrated through an implementation to an empirical dataset derived from a random sample of 1,928 consumers who participated in a large-scale computer assisted telephone survey during the current economic crisis period.

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“…Urban (1969) presented a mathematical model that included the number of facings of an item as a predictor variable of its demand rate. Since then, a great deal of research- Anderson and Amato (1974), Corstjens and Doyle (1981), Zufryden (1986), Bultez and Naert (1988), Borin et al (1994), Urban (1998), among others-has investigated various aspects of the shelf-space allocation problem. More recently, issues such as wholesale prices (Martín-Herrán et al 2006), national vs. private brands (Amrouche and Zaccour 2007), and multiple objectives (Reyes and Frazier 2007) have been incorporated into the shelf-space allocation decision.…”

Section: Literature Reviewmentioning

confidence: 99%

The location and allocation of products and product families on retail shelves

Russell¹,

Urban²

2008

Ann Oper Res

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In this paper, we model a shelf-management problem in which individual products are categorized as part of a product family. It is well known that a product's shelf location has a significant impact on sales for many retail items. We develop a continuous as well as a discrete model with postprocessing to optimize product placement with consideration given to maintaining the grouping of product families. Computational results are reported on test problems as well as real-world beverage placement problems.

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A Mathematical Model for Simultaneously Determining the Optimal Brand-Collection and Display-Area Allocation

Cited by 97 publications

References 6 publications

Shelf Space Allocation Problem Using LNS Solver

Shelf Space Allocation Problem Using LNS Solver

Private labels and retail assortment planning: a differential evolution approach

The location and allocation of products and product families on retail shelves

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